Observability Platform Lead

StarHub

Singapore

In loco

SGD 120.000 - 160.000

Tempo pieno

8 giorni fa

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Descrizione del lavoro

StarHub is seeking a senior Observability/Platform Engineer to administer and optimize Splunk Cloud and Splunk Observability Cloud, roll out OpenTelemetry across AWS, and maintain observability-as-code pipelines. You will design AI-assisted workflows, manage access and compliance, and lead vendor upgrade programs for a large hybrid-cloud environment.

The role requires 5+ years in observability or SRE, a solid automation mindset with Terraform/Git/CI/CD, and experience across JS/.NET/Go/Python

Competenze

Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.
5+ years of relevant experience in observability, monitoring, SRE or platform engineering, including hands-on administration, optimization and health monitoring of an enterprise observability or log analytics platform. Splunk (Cloud or Enterprise) is strongly preferred.
Hands-on experience with an enterprise APM/RUM/infrastructure monitoring platform across RUM, APM, infrastructure and data-storage monitoring. Splunk Observability Cloud is preferred; Datadog, Dynatrace, New Relic, Elastic or similar is acceptable.
Experience installing and operating OpenTelemetry-based telemetry on AWS (EKS, EC2) for Java, Go, .NET, Node.js and Python applications.
Experience managing observability configuration as code (Terraform or equivalent, Git, CI/CD).
Prior AI delivery experience in observability or IT operations: has taken an AI or agent-based capability into production use by operations or engineering teams.
Familiarity with security and compliance standards (MAS-TRM, CSA), including telemetry data governance.
Certifications are a plus: Splunk Core Certified Admin or Power User, Splunk Observability Cloud certification, or equivalent vendor certifications on another observability platform.

Mansioni

Administer the log and search platform (Splunk Cloud): indexes, data onboarding, roles and access, apps and knowledge objects, retention, and search and dashboard performance.
Monitor ingest latency, skipped searches and licence consumption, and tune to keep cost under control.
Administer the APM, RUM and infrastructure monitoring platform (Splunk Observability Cloud): teams, tokens, integrations, detectors, alert routing and dashboards.
Manage metric cardinality and usage against entitlement.
Roll out telemetry to all IS applications: OpenTelemetry Collector on AWS EKS and EC2, and APM instrumentation for Java, Go, .NET, Node.js and Python.
Keep instrumentation vendor-neutral where possible so the backend can change without re-instrumenting.
Maintain onboarding guides and report coverage per application.
Set up RUM for customer-facing web and mobile frontends and link browser sessions to backend traces, logs and infrastructure metrics.
Build and maintain observability as code (Terraform or equivalent) in Git with peer review and CI/CD, so detectors, dashboards and configuration are versioned, repeatable and free of manual drift.
Plan and run platform and agent upgrades with vendors: define the test plan, validate in non-production, sign off before release, and manage support cases and escalations.
Design, build and operate AI and agent-assisted observability workflows, such as alert noise reduction, automated triage, root-cause summaries and natural-language querying, with human review and guardrails.
Apply controls aligned with MAS-TRM and CSA best practices to telemetry: retention, access control, audit logging, and masking of PII and sensitive data before ingest.
Perform User Access Reviews (UAR) on the observability platforms at least twice a year, covering user accounts, roles and tokens, and follow up on removals and exceptions.